• A.Sumathi
• P. Sharmila

Implementation of data mining techniques in the field of education system is getting more importance in the recent days, refers to the Educational Data Mining (EDM). Year by year, the number of students’ admission to various schools, colleges and universities is getting increased. As the enrolment increases, the size of the dataset gets increases consisting large amount of data. This leads to the decrement in the quality assessment and other education related issues which becomes a critical issue and major concern which needs to be sorted out. The major purpose of retaining the standard of the education is that it contributes a major part in the development of the country. It is mandatory to assess and accredit the facilities provided by all the education centres as the retention and the development of skills becomes very important. In the present scenario, the Government of India implemented many steps in order to improve the women education in all parts of the state. Despite the efforts taken by the concerned bodies, the level of women participation in the education is very low when compared to other states. This paper rely on addressing the major issues that prevails in a society that affects the women education. An attempt to examine of what can be done to balance this inevitable situation is carried out in this paper. The analysis has been carried out using Advanced Hierarchical Clustering Algorithm (AHCA) with R-tool and the performance analysis was made in the mentioned algorithm. This paper concludes with the possible solution that can be provided in order to overcome this problem.

Social Factors, Educational Data Mining (EDM), Advanced Hierarchical Clustering Algorithm (AHCA) and R Tool.

"Analyzing the Social Factors That Affects The Women Education Using Advanced Hierarchical Clustering Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.911-918, June-2019, Available :http://www.jetir.org/papers/JETIR1908928.pdf

"Analyzing the Social Factors That Affects The Women Education Using Advanced Hierarchical Clustering Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp911-918, June-2019, Available at : http://www.jetir.org/papers/JETIR1908928.pdf